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Freelance Algorithmic Trading Quant Jobs in Missouri

$500/wk

Proven professional software engineering experience within trading or exchange environments, such as OMS, EMS, exchanges, market making, algorithmic trading, or quantitative trading. * Strong senior ...

... quantitative role, preferably within an economic analysis, commodity trading, financial services ... machine learning algorithms (e.g., regression, classification, clustering, tree-based models)

... algorithms to extract, analyze, and leverage diverse data sources. Critically assess the ... quantitative role, preferably within an economic analysis, commodity trading, financial services ...

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

... quantitative role, preferably within an economic analysis, commodity trading, financial services ... learning algorithms (e.g., regression, classification, clustering, tree-based models)

... quantitative role, preferably within an economic analysis, commodity trading, financial services ... machine learning algorithms (e.g., regression, classification, clustering, tree-based models)

$65/hr

... algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning ... A master's or PhD in mathematics or a closely related quantitative field is ideal; peerreviewed ...

At Flexport, we believe global trade can move the human race forward. That's why it's our mission ... Strong analytical and quantitative skills. You build metrics frameworks, write your own queries ...

Founded in 2010, Leversys provides trading and risk management systems, data products, and related ... Strong foundation in programming, data structures, and algorithms. * Strong knowledge of, and ...

Freelance Algorithmic Trading Quant information

What is a freelance algorithmic trading quant?

A Freelance Algorithmic Trading Quant is an independent professional who designs, develops, and implements mathematical models and algorithms to automate trading in financial markets. They analyze market data, identify trading opportunities, and build automated systems that can execute trades based on quantitative strategies. Unlike full-time employees, freelance algorithmic trading quants typically work on a project basis for various clients or firms, offering flexibility and specialized expertise. Their work often involves programming, statistical analysis, and a strong understanding of financial markets.

What are the key skills and qualifications needed to thrive as a freelance algorithmic trading quant?

To thrive as a Freelance Algorithmic Trading Quant, you need a deep understanding of quantitative analysis, financial markets, and programming, typically backed by a degree in mathematics, statistics, finance, or computer science. Proficiency with programming languages like Python, R, or C++, and experience with trading platforms, statistical modeling tools, and backtesting systems are essential. Strong problem-solving abilities, attention to detail, and effective self-management set exceptional candidates apart in this role. These skills and qualities are vital for developing, testing, and executing profitable trading strategies in a competitive and rapidly changing environment.

How does a freelance algorithmic trading quant typically collaborate with clients and other stakeholders during a project?

As a Freelance Algorithmic Trading Quant, you'll often work closely with clients such as hedge funds, proprietary trading firms, or individual investors to understand their trading objectives and risk appetite. Collaboration usually involves regular check-ins to discuss model requirements, share progress updates, and review backtesting results. You may also interact with other professionals like software developers, risk managers, or data engineers, especially when integrating algorithms into existing trading platforms. Clear communication and documentation are essential to ensure alignment on project goals and deliverables. Flexibility and responsiveness to feedback are key to building long-term client relationships in this dynamic field.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Missouri?

The most popular types of Algorithmic Trading Quant jobs in Missouri are:

What are popular job titles related to Freelance Algorithmic Trading Quant jobs in Missouri?

For Freelance Algorithmic Trading Quant jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Freelance Algorithmic Trading Quant jobs in Missouri look for?

The top searched job categories for Freelance Algorithmic Trading Quant jobs in Missouri are:

Software Engineer - Advisory Suite

Jobgether

Remote

$500/wk

Full-time

Posted 8 days ago


Key responsibilities

  • Design, architect, and build proprietary services supporting advisory products such as block trading, portfolio management, and retirement accounts.

  • Develop robust, scalable software across frontend, backend, databases, and distributed systems.

  • Make critical technical decisions around system architecture, data modeling, scalability, availability, concurrency, and long-term maintainability.


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - Advisory Suite based in Netherlands.

Join a globally distributed engineering team building high-performance infrastructure for modern financial services.
You'll develop proprietary services supporting sophisticated advisory products, including portfolio management, block trading, and retirement accounts.
The role offers the opportunity to shape architecture and engineering practices at an early stage, with substantial ownership and autonomy.
You'll work across frontend and backend systems, databases, distributed architectures, concurrency, and performance optimization.
Your work will directly influence the reliability, scalability, and quality of products used by financial institutions and millions of brokerage accounts.
The environment is highly technical and fast-paced, suited to engineers who enjoy solving complex systems challenges and making critical architectural decisions.
This is an opportunity to make a significant impact while working on demanding, high-throughput financial technology.

Accountabilities
  • Design, architect, and build proprietary services supporting advisory products such as block trading, portfolio management, and retirement accounts.
  • Develop robust, scalable software across frontend, backend, databases, and distributed systems.
  • Make critical technical decisions around system architecture, data modeling, scalability, availability, concurrency, and long-term maintainability.
  • Build and optimize low-latency, high-throughput systems capable of supporting demanding financial workloads.
  • Develop and implement solutions for order management and other high-volume financial transactional systems.
  • Work across different levels of the technology stack, from low-level performance optimization to high-level distributed system architecture.
  • Contribute extensively to the codebase while taking ownership of engineering quality, reliability, and performance.
  • Collaborate within a small, highly technical team where engineers are expected to take on broad responsibilities and wear multiple hats.
  • Continuously evaluate and improve system performance through benchmarking, profiling, observability, and technical optimization.
Requirements
  • Proven professional software engineering experience within trading or exchange environments, such as OMS, EMS, exchanges, market making, algorithmic trading, or quantitative trading.
  • Strong senior-level software engineering experience, with the ability to independently own complex technical problems.
  • Solid system design expertise, including object-oriented data modeling, service-oriented architecture, system abstraction, and distributed system design.
  • Strong programming skills across low- and high-level languages such as C/C++, Go, Zig, Rust, Java, Scala, or Python.
  • Demonstrated experience optimizing systems for low latency and high throughput.
  • Strong knowledge of algorithms, distributed systems, scalability, high availability, databases, concurrency control, and performance-oriented architecture.
  • Experience designing or implementing Order Management Systems (OMS) and/or highly loaded financial transactional systems.
  • Experience working with messaging queues and message brokers.
  • Analytical and data-oriented approach to problem-solving, with strong attention to system behavior and performance.
  • Ability to work effectively in an early-stage, fast-moving environment with significant autonomy and technical ownership.
  • Knowledge of the FIX protocol is a plus.
  • Experience with observability, distributed tracing, continuous profiling, and benchmarking is a plus.
Benefits
  • Competitive salary.
  • Stock options.
  • Health benefits.
  • One-time USD $500 home-office setup allowance for new hires.
  • USD $150 monthly stipend through a company expense card.
  • Fully remote opportunity within Europe.
  • Opportunity to work with a globally distributed team of experienced engineers, traders, and financial technology professionals.
  • High level of technical ownership and autonomy.
  • Opportunity to work on complex, high-performance financial infrastructure at significant scale.
  • Inclusive environment committed to building and supporting a diverse workforce.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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